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testing security llm ai AI 技能

发现 testing security llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: testing security llm ai

显示第 10,969–10,992 个,共 13,084 个

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GitHub

processing-flow-doc

sunbluesome

Use immediately when user mentions: "処理フロー", "processing flow", "フロー図", "flow diagram", "Mermaid", "アーキテクチャ", "architecture", "理解負債", "understanding debt", "なぜ", "why", "数式", "理論", "可...

GitHub

cli-entrypoint

sunbluesome

Create CLI entrypoints for pipeline execution with local/SageMaker environment support and parallel processing. Use when user requests "CLI作成", "エントリーポイント", "entrypoint", "scripts/entrypoint.py", "コ...

GitHub

workflow-orchestrator

sunbluesome

Use immediately when user mentions: "実装して", "implement", "機能追加", "feature", "作って", "create", "バグ修正", "fix", "実験", "experiment", "統合", "integrate", "ワークフロー", "workflow", "パイプライン",...

GitHub

spec-interviewing

sagarvxyz

Creates comprehensive specifications through deep technical interviews. Use when asked to create a spec, define requirements, interview for a config, or refine an existing specification document.

GitHub

creating-skills

Optima-Financial

Create high-quality Claude Code skills with proper structure, effective descriptions, and best practices. Use when creating a new skill, writing SKILL.md files, setting up skill directories, or asking how to ma...

GitHub

create-agent

yui-synth-lab

Create new AI agent implementations for the Yui Protocol system. Use when adding agents like Yui, Eiro, Kanshi.

GitHub

rag-index

yui-synth-lab

Manage RAG (Retrieval-Augmented Generation) indexes. Use for indexing outputs, sessions, or checking RAG statistics.

GitHub

video

imehr

Create multi-platform explainer videos (YouTube, Shorts, TikTok, Instagram, LinkedIn) with intelligent orchestration, Brand × Platform × Style configuration, and learning memory

GitHub

video-explainer

imehr

Use when creating explainer videos, video content for YouTube/TikTok/Instagram/LinkedIn, or when user mentions /video command. Creates multi-platform explainer videos with intelligent orchestration, learning me...

GitHub

clarify

zettalyst

Start iterative requirement clarification loop. Use this skill when the user has a vague requirement and wants to clarify it through structured questioning. Transforms unclear requirements into precise, actiona...

GitHub

skill-with-scripts

yoshiwatanabe

Demonstrates how skills can include executable scripts for automation, calculations, transformations, or system interactions. Use when needing to execute Python, Bash, Node.js, or other scripts.

GitHub

greeting-skill

yoshiwatanabe

Auto-triggered skill that responds warmly when users greet the assistant. Activates when user says hello, hi, hey, greetings, good morning, good afternoon, or good evening.

GitHub

greeting-skill

yoshiwatanabe

Activates automatically when user greets warmly. Demonstrates the auto-trigger pattern—Claude detects friendly intent and engages accordingly.

GitHub

omo

cx994

OmO multi-agent orchestration skill. This skill should be used when the user invokes /omo or needs multi-agent coordination for complex tasks. Triggers on /omo command. Loads Sisyphus as the primary orchestrato...

GitHub

ha-codex-skills

cx994

Codex 执行者技能包。Claude 通过 codeagent-wrapper 派发任务时,根据任务类型路由到子技能。

GitHub

workflow-or-agent-decider

aufrank

Decide between a scripted workflow and an autonomous agent harness, then scaffold the chosen path. Use when scoping new agentic systems or tool integrations.

GitHub

long-running-harness-kit

aufrank

Design long-running agent harnesses with resumable checkpoints and initializer/coder handoffs. Use when tasks span multiple sessions or require recovery after interruption.

GitHub

creating-mcp-code-mode-skills

aufrank

A meta-skill for authoring high-performance, verifiable, long-running MCP skills using Code Mode. This skill blends Anthropic and OpenAI skill-authoring guidance with Code-Mode-first, MCP-backed execution, dyna...

GitHub

slicing-long-contexts

aufrank

Use when a prompt or corpus is long/dense (multi-docs, logs, codebases) and you want a reproducible map/reduce pipeline. Trigger this skill to slice inputs, run per-slice codex/gemini subcalls, and aggregate re...

GitHub

creating-skills

aufrank

General skill authoring and improvement. Use when creating or updating any skill (with or without MCP), selecting structure, generating scaffolds, or packaging resources (scripts/references/assets/templates) th...

GitHub

eval-harness-kit

aufrank

Build and run deterministic evaluation suites for agent workflows (single-turn or agentic). Use when you need reproducible eval runs with manifests, graders, metrics, and JSONL logs for capability or regression...

GitHub

inspecting-the-environment

aufrank

Fast environment briefing for agents and subagents. Use at session start to learn OS/shell, container/WSL/VM status, git repo + upstream + dirty state, Python venv status/locations, markdown folders to read, an...

GitHub

pincer-planning

aufrank

Bidirectional planning for ambiguous or design-heavy tasks. Use when the user requests help breaking down a problem or formulating a plan, and also when an existing plan has too many gaps or needs refinement; c...

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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